Recent research on entering college student assessment instruments and placement practices has been critical. Critics suggest that commonly used assessment instruments are inaccurate, misused, and lack predictive validity. This article describes valid criticisms and appropriate uses of assessment instruments. It also lists challenges and provides…

The Additive Factor Model (AFM) is a cognitive diagnostic model that can be used to predict student performance on items in a context that allows for student learning. Within AFM, "skills" have a learning rate, and student acquisition of a skill depends only on the number of opportunities a student has had to exercise that skill and the…

Individual differences are theorised as being key predictors of students' lecture attendance. Understanding students' (lack of) motivation for studying is an essential first step in supporting these individual differences and potentially increasing class/lecture attendance. The current study explored the role of students' deficits in motivations…

This study involves the development and validation of a survey that measures college students' digital readiness for academic engagement in terms of their perceived digital competencies for academic work. Both exploratory and confirmatory analyses were employed to assess the factorial structure of the Digital Readiness for Academic Engagement…

Over the last few decades, not only organizations but also Higher Education Institutions should be more responsive to the demands of the changed global business environment and improve their effectiveness. Our motivation to write this paper is to assess the implementation of an Enterprise Resource Planning (ERP) system in higher education and…

This study is on correlation between entry qualification and performance in A'level chemistry at the school of Basic and remedial studies, Yobe State University, Damaturu. The grade in chemistry at the West African Examination Council (WAEC) or National Examination Council (NECO) is the predictor while the criterion is the grade earned in the…

This article focuses on the research being conducted by Cambridge International Examinations (Cambridge) to ensure that its international assessments prepare students as well as other acceleration programs for continued study in U.S. colleges and universities. The study, which builds on previous freshman GPA data modeling work using data supplied…

This chapter describes the role of career decision-making self-efficacy, academic satisfaction, and institutional support in predicting Korean students' intent to persist in the Academic Credit Bank System.

Based on current research and seminal theories on learning, quality, and academic persistence, this study sought to establish the core components of academic quality in higher education and to determine if these components can be used to predict students' intention to persist. This study also looked at differences between traditionally aged…

Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

This study examined the academic performance of Tech Prep students (referred to as participants) in comparison to non-Tech Prep students (referred to as non-participants) entering a two-year community college from sixteen different high schools in Stark County, Ohio. This study provided a quantitative analysis of students' academic experiences to…

Remediation is one of the largest single interventions intended to improve outcomes for underprepared college students, yet little is known about the remedial screening process. Using administrative data and a rich predictive model, we find that severe mis-assignments are common using current test-score-cutoff-based policies, with…

The recent significant increase in student loan delinquencies has generated interest in understanding the key factors predicting the non-performance of these loans. However, despite the large size of the student loan market, existing analyses have been limited by lack of data. This paper studies predictors of student loan delinquencies using a…

Background: Current theories of self-regulated learning predict a positive link between student monitoring accuracy and performance: students who more accurately monitor their knowledge of a particular set of materials are expected to more effectively regulate their subsequent study of those materials, which in turn should lead to higher test…

Although college-aged women are at high risk for human papillomavirus (HPV) infection, many college women remain unvaccinated against HPV. Testing health behavior theory can assist sexuality educators in identifying behavioral antecedents to promote behavior change within an intervention. The purpose of this pilot study was to utilize social…